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Books and Theses

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2006
[b1]
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Arun Ross, Karthik Nandakumar, Anil K. Jain:
Handbook of Multibiometrics. The Kluwer international series on biometrics 6, Springer 2006, ISBN 978-0-387-22296-7, pp. I-XXI, 1-198

Journal Articles

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2022
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Lingjuan Lyu, Yitong Li, Karthik Nandakumar, Jiangshan Yu, Xingjun Ma:
How to Democratise and Protect AI: Fair and Differentially Private Decentralised Deep Learning. IEEE Trans. Dependable Secur. Comput. 19(2): 1003-1017 (2022)
2020
[j14]
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Karthik Nandakumar, Nalini K. Ratha, Sharath Pankanti, Alex Pentland, Maurice Herlihy:
Blockchain: From Technology to Marketplaces. Computer 53(7): 14-18 (2020)
[j13]
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Lingjuan Lyu, Jiangshan Yu, Karthik Nandakumar, Yitong Li, Xingjun Ma, Jiong Jin, Han Yu, Kee Siong Ng:
Towards Fair and Privacy-Preserving Federated Deep Models. IEEE Trans. Parallel Distributed Syst. 31(11): 2524-2541 (2020)
2018
[j12]
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Lingjuan Lyu, Karthik Nandakumar, Benjamin I. P. Rubinstein, Jiong Jin, Justin Bedo, Marimuthu Palaniswami:
PPFA: Privacy Preserving Fog-Enabled Aggregation in Smart Grid. IEEE Trans. Ind. Informatics 14(8): 3733-3744 (2018)
2016
[j11]
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Anil K. Jain, Karthik Nandakumar, Arun Ross:
50 years of biometric research: Accomplishments, challenges, and opportunities. Pattern Recognit. Lett. 79: 80-105 (2016)
2015
[j10]
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Karthik Nandakumar, Anil K. Jain:
Biometric Template Protection: Bridging the performance gap between theory and practice. IEEE Signal Process. Mag. 32(5): 88-100 (2015)
[j9]
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Seyedehsamaneh Shojaeilangari, Wei-Yun Yau, Karthik Nandakumar, Jun Li, Eam Khwang Teoh:
Robust Representation and Recognition of Facial Emotions Using Extreme Sparse Learning. IEEE Trans. Image Process. 24(7): 2140-2152 (2015)
2012
[j8]
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Anil K. Jain, Karthik Nandakumar:
Biometric Authentication: System Security and User Privacy. Computer 45(11): 87-92 (2012)
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Abhishek Nagar, Karthik Nandakumar, Anil K. Jain:
Multibiometric Cryptosystems Based on Feature-Level Fusion. IEEE Trans. Inf. Forensics Secur. 7(1): 255-268 (2012)
2010
[j6]
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Anil K. Jain, Jianjiang Feng, Karthik Nandakumar:
Fingerprint Matching. Computer 43(2): 36-44 (2010)
[j5]
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Abhishek Nagar, Karthik Nandakumar, Anil K. Jain:
A hybrid biometric cryptosystem for securing fingerprint minutiae templates. Pattern Recognit. Lett. 31(8): 733-741 (2010)
2008
[j4]
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Anil K. Jain, Karthik Nandakumar, Abhishek Nagar:
Biometric Template Security. EURASIP J. Adv. Signal Process. 2008 (2008)
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Karthik Nandakumar, Yi Chen, Sarat C. Dass, Anil K. Jain:
Likelihood Ratio-Based Biometric Score Fusion. IEEE Trans. Pattern Anal. Mach. Intell. 30(2): 342-347 (2008)
2007
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Karthik Nandakumar, Anil K. Jain, Sharath Pankanti:
Fingerprint-Based Fuzzy Vault: Implementation and Performance. IEEE Trans. Inf. Forensics Secur. 2(4): 744-757 (2007)
2005
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Anil K. Jain, Karthik Nandakumar, Arun Ross:
Score normalization in multimodal biometric systems. Pattern Recognit. 38(12): 2270-2285 (2005)

Conference and Workshop Papers

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2024
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Anas Al-lahham, Muhammad Zaigham Zaheer, Nurbek Tastan, Karthik Nandakumar:
Collaborative Learning of Anomalies with Privacy (CLAP) for Unsupervised Video Anomaly Detection: A New Baseline. CVPR 2024: 12416-12425
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Samar Fares, Karthik Nandakumar:
Attack To Defend: Exploiting Adversarial Attacks for Detecting Poisoned Models. CVPR 2024: 24726-24735
[c58]
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Khawar Islam, Muhammad Zaigham Zaheer, Arif Mahmood, Karthik Nandakumar:
Diffusemix: Label-Preserving Data Augmentation with Diffusion Models. CVPR 2024: 27611-27620
[c57]
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Nurbek Tastan, Samar Fares, Toluwani Aremu, Samuel Horváth, Karthik Nandakumar:
Redefining Contributions: Shapley-Driven Federated Learning. IJCAI 2024: 5009-5017
[c56]
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Nikita Kotelevskii, Samuel Horváth, Karthik Nandakumar, Martin Takác, Maxim Panov:
Dirichlet-based Uncertainty Quantification for Personalized Federated Learning with Improved Posterior Networks. IJCAI 2024: 7127-7135
[c55]
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Muhammad Ridzuan, Numan Saeed, Fadillah Adamsyah Maani, Karthik Nandakumar, Mohammad Yaqub:
SurvCORN: Survival Analysis with Conditional Ordinal Ranking Neural Network. CaPTion@MICCAI 2024: 231-240
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Nada Saadi, Numan Saeed, Mohammad Yaqub, Karthik Nandakumar:
PEMMA: Parameter-Efficient Multi-Modal Adaptation for Medical Image Segmentation. MICCAI (12) 2024: 262-271
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Asif Hanif, Fahad Shamshad, Muhammad Awais, Muzammal Naseer, Fahad Shahbaz Khan, Karthik Nandakumar, Salman H. Khan, Rao Muhammad Anwer:
BAPLe: Backdoor Attacks on Medical Foundational Models Using Prompt Learning. MICCAI (12) 2024: 443-453
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Numan Saeed, Muhammad Ridzuan, Fadillah Adamsyah Maani, Hussain Alasmawi, Karthik Nandakumar, Mohammad Yaqub:
SurvRNC: Learning Ordered Representations for Survival Prediction Using Rank-N-Contrast. MICCAI (5) 2024: 659-669
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Noor Hussein, Fahad Shamshad, Muzammal Naseer, Karthik Nandakumar:
PromptSmooth: Certifying Robustness of Medical Vision-Language Models via Prompt Learning. MICCAI (12) 2024: 698-708
[c50]
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Muhammad Saad Saeed, Shah Nawaz, Marta Moscati, Rohan Kumar Das, Muhammad Salman Tahir, Muhammad Zaigham Zaheer, Muhammad Irzam Liaqat, Muhammad Haris Khan, Karthik Nandakumar, Muhammad Haroon Yousaf, Markus Schedl:
A Synopsis of FAME 2024 Challenge: Associating Faces with Voices in Multilingual Environments. ACM Multimedia 2024: 11333-11334
[c49]
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Salem AlMarri, Muhammad Zaigham Zaheer, Karthik Nandakumar:
A Multi-Head Approach with Shuffled Segments for Weakly-Supervised Video Anomaly Detection. WACV (Workshops) 2024: 132-142
[c48]
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Anas Al-Lahham, Nurbek Tastan, Muhammad Zaigham Zaheer, Karthik Nandakumar:
A Coarse-to-Fine Pseudo-Labeling (C2FPL) Framework for Unsupervised Video Anomaly Detection. WACV 2024: 6779-6788
2023
[c47]
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Shikhar Srivastava, Mohammad Yaqub, Karthik Nandakumar:
Lifelong Learning of Task-Parameter Relationships for Knowledge Transfer. CVPR Workshops 2023: 2525-2534
[c46]
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Nurbek Tastan, Karthik Nandakumar:
CaPriDe Learning: Confidential and Private Decentralized Learning Based on Encryption-Friendly Distillation Loss. CVPR 2023: 8084-8092
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Fahad Shamshad, Koushik Srivatsan, Karthik Nandakumar:
Evading Forensic Classifiers with Attribute-Conditioned Adversarial Faces. CVPR 2023: 16469-16478
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Fahad Shamshad, Muzammal Naseer, Karthik Nandakumar:
CLIP2Protect: Protecting Facial Privacy Using Text-Guided Makeup via Adversarial Latent Search. CVPR 2023: 20595-20605
[c43]
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Mubarak G. Abdu-Aguye, Karthik Nandakumar:
Recurrence-Based Disentanglement for Detecting Adversarial Attacks on Timeseries Classifiers. EUSIPCO 2023: 625-629
[c42]
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Mubarak G. Abdu-Aguye, Karthik Nandakumar:
On the Effects of Filtering Methods on Adversarial Timeseries Data. GeoPrivacy@SIGSPATIAL 2023: 5-9
[c41]
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Gokul Karthik Kumar, Praveen S. V, Pratyush Kumar, Mitesh M. Khapra, Karthik Nandakumar:
Towards Building Text-to-Speech Systems for the Next Billion Users. ICASSP 2023: 1-5
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Muhammad Saad Saeed, Shah Nawaz, Muhammad Haris Khan, Muhammad Zaigham Zaheer, Karthik Nandakumar, Muhammad Haroon Yousaf, Arif Mahmood:
Single-branch Network for Multimodal Training. ICASSP 2023: 1-5
[c39]
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Naif Alkhunaizi, Koushik Srivatsan, Faris Almalik, Ibrahim Almakky, Karthik Nandakumar:
FedSIS: Federated Split Learning with Intermediate Representation Sampling for Privacy-preserving Generalized Face Presentation Attack Detection. IJCB 2023: 1-11
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Maryam Nadeem, Karthik Nandakumar:
On Self-Supervised Learning and Prompt Tuning of Vision Transformers for Cross-sensor Fingerprint Presentation Attack Detection. IJCB 2023: 1-10
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Koushik Srivatsan, Muzammal Naseer, Karthik Nandakumar:
FLIP: Cross-domain Face Anti-spoofing with Language Guidance. ICCV 2023: 19628-19639
[c36]
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Joseph Geo Benjamin, Mothilal Asokan, Amna Alhosani, Hussain Alasmawi, Werner Gerhard Diehl, Leanne Bricker, Karthik Nandakumar, Mohammad Yaqub:
Leveraging Self-supervised Learning for Fetal Cardiac Planes Classification Using Ultrasound Scan Videos. ASMUS@MICCAI 2023: 68-78
[c35]
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Faris Almalik, Naif Alkhunaizi, Ibrahim Almakky, Karthik Nandakumar:
FeSViBS: Federated Split Learning of Vision Transformer with Block Sampling. MICCAI (2) 2023: 350-360
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Vu Ngoc Tu, Van Thong Huynh, Hyung-Jeong Yang, Soo-Hyung Kim, Shah Nawaz, Karthik Nandakumar, Muhammad Zaigham Zaheer:
DCTM: Dilated Convolutional Transformer Model for Multimodal Engagement Estimation in Conversation. ACM Multimedia 2023: 9521-9525
[c33]
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Nazarii Tupitsa, Abdulla Jasem Almansoori, Yanlin Wu, Martin Takác, Karthik Nandakumar, Samuel Horváth, Eduard Gorbunov:
Byzantine-Tolerant Methods for Distributed Variational Inequalities. NeurIPS 2023
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Toluwani Aremu, Karthik Nandakumar:
PolyKervNets: Activation-free Neural Networks For Efficient Private Inference. SaTML 2023: 593-604
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Rouqaiah Al-Refai, Karthik Nandakumar:
A Unified Model for Face Matching and Presentation Attack Detection using an Ensemble of Vision Transformer Features. WACV (Workshops) 2023: 662-671
2022
[c30]
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Otabek Nazarov, Mohammad Yaqub, Karthik Nandakumar:
On the Importance of Image Encoding in Automated Chest X-Ray Report Generation. BMVC 2022: 475
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Nayna Jain, Karthik Nandakumar, Nalini K. Ratha, Sharath Pankanti, Uttam Kumar:
PPDL - Privacy Preserving Deep Learning Using Homomorphic Encryption. COMAD/CODS 2022: 318-319
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Akash Godbole, Steven A. Grosz, Karthik Nandakumar, Anil K. Jain:
On Demographic Bias in Fingerprint Recognition. IJCB 2022: 1-10
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Faris Almalik, Mohammad Yaqub, Karthik Nandakumar:
Self-Ensembling Vision Transformer (SEViT) for Robust Medical Image Classification. MICCAI (3) 2022: 376-386
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Naif Alkhunaizi, Dmitry Kamzolov, Martin Takác, Karthik Nandakumar:
Suppressing Poisoning Attacks on Federated Learning for Medical Imaging. MICCAI (8) 2022: 673-683
2021
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Nayna Jain, Karthik Nandakumar, Nalini K. Ratha, Sharath Pankanti, Uttam Kumar:
CryptInfer: Enabling Encrypted Inference on Skin Lesion Images for Melanoma Detection. AIMLSystems 2021: 13:1-13:7
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Shikhar Srivastava, Mohammad Yaqub, Karthik Nandakumar, Zongyuan Ge, Dwarikanath Mahapatra:
Continual Domain Incremental Learning for Chest X-Ray Classification in Low-Resource Clinical Settings. DART/FAIR@MICCAI 2021: 226-238
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Nayna Jain, Karthik Nandakumar, Nalini K. Ratha, Sharath Pankanti, Uttam Kumar:
Optimizing Homomorphic Encryption based Secure Image Analytics. MMSP 2021: 1-6
2020
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Kanthi K. Sarpatwar, Nalini K. Ratha, Karthik Nandakumar, Karthikeyan Shanmugam, James T. Rayfield, Sharath Pankanti, Roman Vaculín:
Privacy Enhanced Decision Tree Inference. CVPR Workshops 2020: 154-159
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Shengjiao Cao, Yuan Yuan, Angelo De Caro, Karthik Nandakumar, Kaoutar Elkhiyaoui, Yanyan Hu:
Decentralized Privacy-Preserving Netting Protocol on Blockchain for Payment Systems. Financial Cryptography 2020: 137-155
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Osama Ouda, Karthik Nandakumar, Arun Ross:
Cancelable Biometrics Vault: A Secure Key-Binding Biometric Cryptosystem based on Chaffing and Winnowing. ICPR 2020: 8735-8742
2019
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Karthik Nandakumar, Nalini K. Ratha, Sharath Pankanti, Shai Halevi:
Towards Deep Neural Network Training on Encrypted Data. CVPR Workshops 2019: 40-48
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Karthik Nandakumar, Nalini K. Ratha, Sharathchandra Pankanti:
Proving Multimedia Integrity using Sanitizable Signatures Recorded on Blockchain. IH&MMSec 2019: 151-160
2018
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Kumar Bhaskaran, Peter Ilfrich, Dain Liffman, Christian Vecchiola, Praveen Jayachandran, Apurva Kumar, Fabian Lim, Karthik Nandakumar, Zhengquan Qin, Venkatraman Ramakrishna, Ernie G. S. Teo, Chun Hui Suen:
Double-Blind Consent-Driven Data Sharing on Blockchain. IC2E 2018: 385-391
2017
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Karthik Nandakumar, Nalini K. Ratha, Sharath Pankanti, Shelby Darnell:
Secure one-time biometrie tokens for non-repudiable multi-party transactions. WIFS 2017: 1-6
2013
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Seyed Mohammad Hassan Anvar, Wei-Yun Yau, Karthik Nandakumar, Eam Khwang Teoh:
Estimating in-plane rotation angle for face images from multi-poses. CIBIM 2013: 52-57
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Karthik Nandakumar:
BioSAKE: Biometrics-based secure authentication and key exchange. ICB 2013: 1-8
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Karthik Nandakumar, Kong-Wah Wan, Siu Man Alice Chan, Wen Zheng Terence Ng, Jian-Gang Wang, Wei-Yun Yau:
A multi-modal gesture recognition system using audio, video, and skeletal joint data. ICMI 2013: 475-482
2012
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Karthik Nandakumar:
Fingerprint matching based on minutiae phase spectrum. ICB 2012: 216-221
2010
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Abhishek Nagar, Karthik Nandakumar, Anil K. Jain:
Biometric template transformation: a security analysis. Media Forensics and Security 2010: 75410O
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Karthik Nandakumar:
A fingerprint cryptosystem based on minutiae phase spectrum. WIFS 2010: 1-6
2009
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Karthik Nandakumar, Anil K. Jain, Arun Ross:
Fusion in Multibiometric Identification Systems: What about the Missing Data?. ICB 2009: 743-752
2008
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Anil K. Jain, Jianjiang Feng, Abhishek Nagar, Karthik Nandakumar:
On matching latent fingerprints. CVPR Workshops 2008: 1-8
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Abhishek Nagar, Karthik Nandakumar, Anil K. Jain:
Securing fingerprint template: Fuzzy vault with minutiae descriptors. ICPR 2008: 1-4
2007
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Karthik Nandakumar, Abhishek Nagar, Anil K. Jain:
Hardening Fingerprint Fuzzy Vault Using Password. ICB 2007: 927-937
2006
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Karthik Nandakumar, Yi Chen, Anil K. Jain, Sarat C. Dass:
Quality-based Score Level Fusion in Multibiometric Systems. ICPR (4) 2006: 473-476
2005
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Sarat C. Dass, Karthik Nandakumar, Anil K. Jain:
A Principled Approach to Score Level Fusion in Multimodal Biometric Systems. AVBPA 2005: 1049-1058
2004
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Anil K. Jain, Karthik Nandakumar, Xiaoguang Lu, Unsang Park:
Integrating Faces, Fingerprints, and Soft Biometric Traits for User Recognition. ECCV Workshop BioAW 2004: 259-269
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Anil K. Jain, Sarat C. Dass, Karthik Nandakumar:
Soft Biometric Traits for Personal Recognition Systems. ICBA 2004: 731-738
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Karthik Nandakumar, Anil K. Jain:
Local Correlation-based Fingerprint Matching. ICVGIP 2004: 503-508

Parts in Books or Collections

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2013
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Anil K. Jain, Karthik Nandakumar, Abhishek Nagar:
Fingerprint Template Protection: From Theory to Practice. Security and Privacy in Biometrics 2013: 187-214

Reference Works

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2015
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Anil K. Jain, Karthik Nandakumar:
Biometric System Design, Overview. Encyclopedia of Biometrics 2015: 229-235
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Arun Ross, Karthik Nandakumar:
Fusion, Score-Level. Encyclopedia of Biometrics 2015: 766-772
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Karthik Nandakumar:
Security Issues, System Design. Encyclopedia of Biometrics 2015: 1342-1348
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Karthik Nandakumar, Anil K. Jain:
Soft Biometrics. Encyclopedia of Biometrics 2015: 1425-1429
2009
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Arun Ross, Karthik Nandakumar:
Fusion, Score-Level. Encyclopedia of Biometrics 2009: 611-616
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Karthik Nandakumar:
Security Issues, System Design. Encyclopedia of Biometrics 2009: 1152-1158
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Karthik Nandakumar, Anil K. Jain:
Soft Biometrics. Encyclopedia of Biometrics 2009: 1235-1239

Informal and Other Publications

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2024
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Hanan Gani, Nada Saadi, Noor Hussein, Karthik Nandakumar:
Multi-Attribute Vision Transformers are Efficient and Robust Learners. CoRR abs/2402.08070 (2024)
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Numan Saeed, Muhammad Ridzuan, Fadillah Adamsyah Maani, Hussain Alasmawi, Karthik Nandakumar, Mohammad Yaqub:
SurvRNC: Learning Ordered Representations for Survival Prediction using Rank-N-Contrast. CoRR abs/2403.10603 (2024)
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Anas Al-Lahham, Muhammad Zaigham Zaheer, Nurbek Tastan, Karthik Nandakumar:
Collaborative Learning of Anomalies with Privacy (CLAP) for Unsupervised Video Anomaly Detection: A New Baseline. CoRR abs/2404.00847 (2024)
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Muhammad Saad Saeed, Shah Nawaz, Muhammad Salman Tahir, Rohan Kumar Das, Muhammad Zaigham Zaheer, Marta Moscati, Markus Schedl, Muhammad Haris Khan, Karthik Nandakumar, Muhammad Haroon Yousaf:
Face-voice Association in Multilingual Environments (FAME) Challenge 2024 Evaluation Plan. CoRR abs/2404.09342 (2024)
[i45]
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Nada Saadi, Numan Saeed, Mohammad Yaqub, Karthik Nandakumar:
PEMMA: Parameter-Efficient Multi-Modal Adaptation for Medical Image Segmentation. CoRR abs/2404.13704 (2024)
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Khawar Islam, Muhammad Zaigham Zaheer, Arif Mahmood, Karthik Nandakumar:
DiffuseMix: Label-Preserving Data Augmentation with Diffusion Models. CoRR abs/2405.14881 (2024)
[i43]
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Nurbek Tastan, Samar Fares, Toluwani Aremu, Samuel Horváth, Karthik Nandakumar:
Redefining Contributions: Shapley-Driven Federated Learning. CoRR abs/2406.00569 (2024)
[i42]
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Samar Fares, Klea Ziu, Toluwani Aremu, Nikita Durasov, Martin Takác, Pascal Fua, Karthik Nandakumar, Ivan Laptev:
MirrorCheck: Efficient Adversarial Defense for Vision-Language Models. CoRR abs/2406.09250 (2024)
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Hashmat Shadab Malik, Fahad Shamshad, Muzammal Naseer, Karthik Nandakumar, Fahad Shahbaz Khan, Salman H. Khan:
Towards Evaluating the Robustness of Visual State Space Models. CoRR abs/2406.09407 (2024)
[i40]
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Naif Alkhunaizi, Faris Almalik, Rouqaiah Al-Refai, Muzammal Naseer, Karthik Nandakumar:
Probing the Efficacy of Federated Parameter-Efficient Fine-Tuning of Vision Transformers for Medical Image Classification. CoRR abs/2407.11573 (2024)
[i39]
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Raza Imam, Hanan Gani, Muhammad Huzaifa, Karthik Nandakumar:
Test-Time Low Rank Adaptation via Confidence Maximization for Zero-Shot Generalization of Vision-Language Models. CoRR abs/2407.15913 (2024)
[i38]
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Muhammad Irzam Liaqat, Shah Nawaz, Muhammad Zaigham Zaheer, Muhammad Saad Saeed, Hassan Sajjad, Tom De Schepper, Karthik Nandakumar, Muhammad Haris Khan, Markus Schedl:
Chameleon: Images Are What You Need For Multimodal Learning Robust To Missing Modalities. CoRR abs/2407.16243 (2024)
[i37]
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Joseph Geo Benjamin, Mothilal Asokan, Amna Alhosani, Hussain Alasmawi, Werner Gerhard Diehl, Leanne Bricker, Karthik Nandakumar, Mohammad Yaqub:
Leveraging Self-Supervised Learning for Fetal Cardiac Planes Classification using Ultrasound Scan Videos. CoRR abs/2407.21738 (2024)
[i36]
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Mothilal Asokan, Joseph Geo Benjamin, Mohammad Yaqub, Karthik Nandakumar:
A Federated Learning-Friendly Approach for Parameter-Efficient Fine-Tuning of SAM in 3D Segmentation. CoRR abs/2407.21739 (2024)
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Asif Hanif, Fahad Shamshad, Muhammad Awais, Muzammal Naseer, Fahad Shahbaz Khan, Karthik Nandakumar, Salman H. Khan, Rao Muhammad Anwer:
BAPLe: Backdoor Attacks on Medical Foundational Models using Prompt Learning. CoRR abs/2408.07440 (2024)
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Muhammad Saad Saeed, Shah Nawaz, Muhammad Zaigham Zaheer, Muhammad Haris Khan, Karthik Nandakumar, Muhammad Haroon Yousaf, Hassan Sajjad, Tom De Schepper, Markus Schedl:
Modality Invariant Multimodal Learning to Handle Missing Modalities: A Single-Branch Approach. CoRR abs/2408.07445 (2024)
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Fahad Shamshad, Muzammal Naseer, Karthik Nandakumar:
Makeup-Guided Facial Privacy Protection via Untrained Neural Network Priors. CoRR abs/2408.12387 (2024)
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Noor Hussein, Fahad Shamshad, Muzammal Naseer, Karthik Nandakumar:
PromptSmooth: Certifying Robustness of Medical Vision-Language Models via Prompt Learning. CoRR abs/2408.16769 (2024)
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Koushik Srivatsan, Fahad Shamshad, Muzammal Naseer, Karthik Nandakumar:
STEREO: Towards Adversarially Robust Concept Erasing from Text-to-Image Generation Models. CoRR abs/2408.16807 (2024)
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Mohammed Talha Alam, Raza Imam, Mohammad Areeb Qazi, Asim Ukaye, Karthik Nandakumar:
Introducing SDICE: An Index for Assessing Diversity of Synthetic Medical Datasets. CoRR abs/2409.19436 (2024)
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Muhammad Ridzuan, Numan Saeed, Fadillah Adamsyah Maani, Karthik Nandakumar, Mohammad Yaqub:
SurvCORN: Survival Analysis with Conditional Ordinal Ranking Neural Network. CoRR abs/2409.19901 (2024)
[i28]
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  - journals/corr/abs-2410-03042
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Nurbek Tastan, Samuel Horváth, Martin Takác, Karthik Nandakumar:
FedPeWS: Personalized Warmup via Subnetworks for Enhanced Heterogeneous Federated Learning. CoRR abs/2410.03042 (2024)
2023
[i27]
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  - journals/corr/abs-2303-06129
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Muhammad Saad Saeed, Shah Nawaz, Muhammad Haris Khan, Muhammad Zaigham Zaheer, Karthik Nandakumar, Muhammad Haroon Yousaf, Arif Mahmood:
Single-branch Network for Multimodal Training. CoRR abs/2303.06129 (2023)
[i26]
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  - journals/corr/abs-2306-10008
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Fahad Shamshad, Muzammal Naseer, Karthik Nandakumar:
CLIP2Protect: Protecting Facial Privacy using Text-Guided Makeup via Adversarial Latent Search. CoRR abs/2306.10008 (2023)
[i25]
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  - journals/corr/abs-2306-13091
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Fahad Shamshad, Koushik Srivatsan, Karthik Nandakumar:
Evading Forensic Classifiers with Attribute-Conditioned Adversarial Faces. CoRR abs/2306.13091 (2023)
[i24]
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  - journals/corr/abs-2306-14638
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Faris Almalik, Naif Alkhunaizi, Ibrahim Almakky, Karthik Nandakumar:
FeSViBS: Federated Split Learning of Vision Transformer with Block Sampling. CoRR abs/2306.14638 (2023)
[i23]
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  - journals/corr/abs-2308-01966
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Vu Ngoc Tu, Van Thong Huynh, Hyung-Jeong Yang, Muhammad Zaigham Zaheer, Shah Nawaz, Karthik Nandakumar, Soo-Hyung Kim:
DCTM: Dilated Convolutional Transformer Model for Multimodal Engagement Estimation in Conversation. CoRR abs/2308.01966 (2023)
[i22]
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  - journals/corr/abs-2308-10236
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Naif Alkhunaizi, Koushik Srivatsan, Faris Almalik, Ibrahim Almakky, Karthik Nandakumar:
FedSIS: Federated Split Learning with Intermediate Representation Sampling for Privacy-preserving Generalized Face Presentation Attack Detection. CoRR abs/2308.10236 (2023)
[i21]
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  - journals/corr/abs-2309-16649
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Koushik Srivatsan, Muzammal Naseer, Karthik Nandakumar:
FLIP: Cross-domain Face Anti-spoofing with Language Guidance. CoRR abs/2309.16649 (2023)
[i20]
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  - journals/corr/abs-2310-17650
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Anas Al-Lahham, Nurbek Tastan, Muhammad Zaigham Zaheer, Karthik Nandakumar:
A Coarse-to-Fine Pseudo-Labeling (C2FPL) Framework for Unsupervised Video Anomaly Detection. CoRR abs/2310.17650 (2023)
[i19]
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  - journals/corr/abs-2311-04611
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Nazarii Tupitsa, Abdulla Jasem Almansoori, Yanlin Wu, Martin Takác, Karthik Nandakumar, Samuel Horváth, Eduard Gorbunov:
Byzantine-Tolerant Methods for Distributed Variational Inequalities. CoRR abs/2311.04611 (2023)
[i18]
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  - journals/corr/abs-2312-11230
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Nikita Kotelevskii, Samuel Horváth, Karthik Nandakumar, Martin Takác, Maxim Panov:
Dirichlet-based Uncertainty Quantification for Personalized Federated Learning with Improved Posterior Networks. CoRR abs/2312.11230 (2023)
2022
[i17]
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  - journals/corr/abs-2202-01672
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Sayed Hashim, Muhammad Ali, Karthik Nandakumar, Mohammad Yaqub:
SubOmiEmbed: Self-supervised Representation Learning of Multi-omics Data for Cancer Type Classification. CoRR abs/2202.01672 (2022)
[i16]
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  - journals/corr/abs-2204-05814
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Gokul Karthik Kumar, Abhishek Singh Gehlot, Sahal Shaji Mullappilly, Karthik Nandakumar:
MuCoT: Multilingual Contrastive Training for Question-Answering in Low-resource Languages. CoRR abs/2204.05814 (2022)
[i15]
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  - journals/corr/abs-2205-09318
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Akash Godbole, Steven A. Grosz, Karthik Nandakumar, Anil K. Jain:
On Demographic Bias in Fingerprint Recognition. CoRR abs/2205.09318 (2022)
[i14]
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  - journals/corr/abs-2207-10804
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Naif Alkhunaizi, Dmitry Kamzolov, Martin Takác, Karthik Nandakumar:
Suppressing Poisoning Attacks on Federated Learning for Medical Imaging. CoRR abs/2207.10804 (2022)
[i13]
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  - journals/corr/abs-2208-02851
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Faris Almalik, Mohammad Yaqub, Karthik Nandakumar:
Self-Ensembling Vision Transformer (SEViT) for Robust Medical Image Classification. CoRR abs/2208.02851 (2022)
[i12]
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  - journals/corr/abs-2209-02425
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Akash Godbole, Karthik Nandakumar, Anil K. Jain:
Learning an Ensemble of Deep Fingerprint Representations. CoRR abs/2209.02425 (2022)
[i11]
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  - journals/corr/abs-2210-00825
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Sayed Hashim, Karthik Nandakumar, Mohammad Yaqub:
Self-omics: A Self-supervised Learning Framework for Multi-omics Cancer Data. CoRR abs/2210.00825 (2022)
[i10]
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Gokul Karthik Kumar, Karthik Nandakumar:
Hate-CLIPper: Multimodal Hateful Meme Classification based on Cross-modal Interaction of CLIP Features. CoRR abs/2210.05916 (2022)
[i9]
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  - journals/corr/abs-2211-09536
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Gokul Karthik Kumar, Praveen S. V, Pratyush Kumar, Mitesh M. Khapra, Karthik Nandakumar:
Towards Building Text-To-Speech Systems for the Next Billion Users. CoRR abs/2211.09536 (2022)
[i8]
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  - journals/corr/abs-2211-13465
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Otabek Nazarov, Mohammad Yaqub, Karthik Nandakumar:
On the Importance of Image Encoding in Automated Chest X-Ray Report Generation. CoRR abs/2211.13465 (2022)
2021
[i7]
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  - journals/corr/abs-2102-00319
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Nayna Jain, Karthik Nandakumar, Nalini K. Ratha, Sharath Pankanti, Uttam Kumar:
Efficient CNN Building Blocks for Encrypted Data. CoRR abs/2102.00319 (2021)
[i6]
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  - journals/corr/abs-2103-03411
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Kanthi K. Sarpatwar, Karthik Nandakumar, Nalini K. Ratha, James T. Rayfield, Karthikeyan Shanmugam, Sharath Pankanti, Roman Vaculín:
Efficient Encrypted Inference on Ensembles of Decision Trees. CoRR abs/2103.03411 (2021)
[i5]
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  - journals/corr/abs-2108-10046
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Cuicui Kang, Karthik Nandakumar:
Discovering Spatial Relationships by Transformers for Domain Generalization. CoRR abs/2108.10046 (2021)
[i4]
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  - journals/corr/abs-2110-03027
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Cuicui Kang, Karthik Nandakumar:
Dynamically Decoding Source Domain Knowledge For Unseen Domain Generalization. CoRR abs/2110.03027 (2021)
2020
[i3]
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  - journals/corr/abs-2007-09370
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Lingjuan Lyu, Yitong Li, Karthik Nandakumar, Jiangshan Yu, Xingjun Ma:
How to Democratise and Protect AI: Fair and Differentially Private Decentralised Deep Learning. CoRR abs/2007.09370 (2020)
2019
[i2]
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  - journals/corr/abs-1904-10180
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Karthik Nandakumar, Sebastien Blandin, Laura Wynter:
High-frequency crowd insights for public safety and congestion control. CoRR abs/1904.10180 (2019)
[i1]
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  - journals/corr/abs-1906-01167
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Lingjuan Lyu, Jiangshan Yu, Karthik Nandakumar, Yitong Li, Xingjun Ma, Jiong Jin:
Towards Fair and Decentralized Privacy-Preserving Deep Learning with Blockchain. CoRR abs/1906.01167 (2019)

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